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This paper aims to review the experience so far of the Spanish labour market during the Covid-19 crisis in the light of the existing institutions, its performance during past recessions and the policy measures adopted during the pandemic. Emphasis is placed on the role of worldwide trends in labour markets because of automation and artificial intelligence, in shaping a potential recovery of this (hopefully) transitory shock through a big reallocation process of employment and economic activity. It also highlights some innovations to employment and social policies needed to smooth the reallocation process and lessen the rise in inequality associated to technological trends.

Theory and empirics.

The Spanish labour market will subject to a great reallocation shock as a result of Covid-19 and secular technological changes. Reforms need to be undertaken.

An overview and some new results.

This paper aims to review the economic impact of Covid in Spain and propose policies to deal with them.

Not relevant.

The pandemic is having a very severe effect, which varies across sectors and regions. Given the severity of the problem, a comprehensive policy strategy is needed. Specific proposals about such a strategy are made, distinguishing between the short and the long run.

It provides a discussion about the main measures that have been taken to mitigate the economic consequences of Covid in Spain and about what else should be done.

The purpose of this paper is to analyze the functioning of a non-sanction “soft” gender quota policy structure (a simple recommendation), using the case of Spain. In the first part of the paper, the authors have reported the dismal improvement regarding the increase of female percentage presence in the companies’ boards of members.

The authors provide a detailed sectorial analysis and a classification of board members by type (executive, proprietary, independent and other external). In the second part, the authors exploit the fact that since 2013, the stock-listed companies are legally obliged to respond to a series of questions on gender diversity issues in their annual reports. Using this requirement, the authors perform an analysis using text processing techniques. The authors find that “self-plagiarism” is common in the responses – i.e. they copy responses from previous years – as well as “plagiarism” – i.e. they copy responses from other companies in previous years.

The insufficient progress in respect to the goals of the Law of Equality of 2007 (enacted by Spanish authorities) and the lack of interest that can be inferred from the companies’ responses included in their annual reports lead the authors to consider the necessity of changing the law on the corporate policies gender quotas in Spain.

It is the first study that realizes this type of analysis for Spain.